We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank - Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Provides guidance to immediate team of software engineers on daily tasks and activities

Sets the overall guidance and expectations for team output, practices, and collaboration

Anticipates dependencies with other teams to deliver products and applications in line with business requirements

Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements

Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Hands on experience in data mapping, data architecture, and data modeling on Databricks

Extensive experience in AWS, Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks

Proficient in Python, and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional)

Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming)

Experienced in standing up and maintaining EC2 instances, Kubernetes clusters and Lambda services

Experience in building Notebooks with complex code structures and debugging failed jobs.

Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck

Proven ability to deliver high quality features into production system in a rapid paced, iterative development environment.

Exposure to cloud technologies